|
PURPOSE OF POSITION:
Primarily responsible to build and maintain data infrastructure and analytical tools for support the department needs. Full stack data professional working with both engineering/modeling and analytical aspects of data to fulfill organization’s data and analytical needs
SUMMARY OF DUTIES AND RESPONSIBILITIES:
- Build infrastructure (pipelines and automated processes) required for optimal extraction, loading and transformation of data from a wide variety of sources using SQL, python and/or other technologies as needed
- Provide analytics to drive operations as well as decisioning across domains like VBP, Revenue & Expense, Ambulatory Care etc.
- Assemble raw and disjointed data sets and transform into efficient data models that can be leveraged for tracking, reporting and financial operations
- Identify, design and implement process improvements, automating manual processes and optimizing operational efficiencies
- Work with cross functional stakeholders and partners to assist with data related issues and support their needs
- Prepare ad-hoc and recurring reporting and analyses and build analytical tools to support senior management and executive decision making
- Create reports and dashboards from EPIC and its data to provide visibility into key metrics and trends
- Create routine data validation rules and processes to ensure completeness and integrity
- As needed, assist with Financial reconciliations and planning with an eye towards automation to improve efficiencies
- Maintain clear, organized and complete documentation of data operations and curated datasets at all time to maintain operational resiliency and ensure the data is fit for purpose
- Analyze and document business requirements and processes communicate requirements to technical personnel through the construction of basic conceptual data process models and flowcharts
- Identify performance improvement opportunities and resolution
- Other related tasks and/or projects
|
| Skills: |
Master or Bachelor Degree in Computer Science, Informatics, Analytics or related field plus 1 year of relevant experience or;
4 years of experience in data analytics, software programming or related field
COMPUTER PROGRAMS/SOFTWARE OPERATED
- SQL and relational databases
- Python
- Tableau
- ETL/ELT and data pipelines
- Microsoft Office
- Advanced Excel
- Healthcare Data/Epic experience
|
| Education: |
Master or Bachelor Degree in Computer Science, Informatics, Analytics or related field plus 1 year of relevant experience or;
4 years of experience in data analytics, software programming or related field
|
